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Gainwell Technologies

Senior Data Engineer

Gainwell Technologies

. Architect Scalable Data Pipelines: Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python.

Posted 3/28/2026full-timeRemote • Texas • 🇺🇸 United StatesSenior💰 $69,400 - $99,200 per yearWebsite

Tech Stack

Tools & technologies
AirflowAWSCloudETLPythonSparkSQLTableau

About the role

Key responsibilities & impact
  • Architect Scalable Data Pipelines: Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python.
  • Enable Data Access & Analytics: Partner with analytics, product, and engineering teams to ensure timely, accurate, and governed access to data for downstream reporting and analytics.
  • Optimize Data Workflows: Improve performance, reduce latency, and streamline processes by tuning SQL, optimizing Spark jobs, and enhancing cloud data pipelines.
  • Leverage Cloud Infrastructure: Utilize AWS services (e.g., S3, Glue, Lambda) to manage and scale data engineering workloads.
  • Drive Best Practices: Establish and maintain data engineering standards, including code quality, data security, version control, and documentation.
  • Build & Maintain Data Models: Construct and support dimensional and normalized data models that support cross-functional use cases and reporting needs.
  • Automation & Monitoring: Set up robust pipeline orchestration (e.g., with Airflow, Databricks Jobs, or AWS Step Functions) and monitoring/alerting systems.
  • Collaborate Cross-Functionally: Work with data analysts, scientists, and business users to understand requirements and transform raw data into business-ready datasets.

Requirements

What you’ll need
  • 3+ years of experience as a Data Engineer or in a similar role.
  • Strong hands-on experience with Databricks (Spark, Delta Lake) and Python-based ETL frameworks.
  • Solid experience working with AWS cloud services for data processing and storage.
  • Moderate-to-advanced proficiency in SQL for data wrangling, transformation, and performance tuning.
  • Experience with data lake architectures, ELT/ETL development, and orchestration tools.
  • Familiarity with software engineering best practices, including CI/CD, version control, and code reviews.
  • Experience with Power BI or other BI tools (e.g., Tableau, Looker) to assist in data visualization or self-service reporting enablement.

Benefits

Comp & perks
  • generous, flexible vacation policy
  • educational assistance
  • comprehensive health benefits
  • 401(k) employer match
  • leadership and technical development academies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
ETLELTDatabricksSparkPythonSQLAWSData ModelingData Lake ArchitecturesCI/CD
Soft Skills
CollaborationCommunicationProblem SolvingCross-Functional TeamworkAttention to DetailAdaptabilityAnalytical ThinkingTime ManagementLeadershipDocumentation